AI models
Me Llama 13B
Parameters
13B
Published
Feb 20, 2024
Me Llama 13B is an AI model developed by Yale School of Medicine, University of Florida and University of Texas Health Science Center (United States), first published in February 2024. It works in the language and medicine domain, on tasks such as language modeling/generation, question answering, medical diagnosis and 3 more.
Epoch AI has no training-compute estimate for this model. The model has 13,000,000,000 parameters. It was trained on roughly 129B datapoints. Training ran on NVIDIA A100 SXM4 80 GB.
Access: Open weights (non-commercial). Its weights are openly available. It is built on top of Llama 2-13B. Epoch AI rates the confidence of this record as confident.
Full record
- Organization
- Yale School of Medicine, University of Florida, University of Texas Health Science Center
- Country of organization
- United States
- Domain
- Language, Medicine
- Task
- Language modeling/generation, Question answering, Medical diagnosis, Named entity recognition (NER), Text classification, Text summarization
- Compute estimation method
- Operation counting
- Parameters
- 13,000,000,000
- Dataset size
- 129B
- Training hardware
- NVIDIA A100 SXM4 80 GB
- Numerical format
- BF16
- Model accessibility
- Open weights (non-commercial)
- Open weights
- Yes
- Base model
- Llama 2-13B
- Epoch confidence
- Confident
More from Yale School of Medicine,University of Florida,University of Texas Health Science Center
SourceEpoch AI, 'AI Models'. Published online at epoch.ai. Retrieved 2026-07-29 from https://epoch.ai/data/ai-models. Licensed under CC BY 4.0.
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